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<p>This is the proxy class for passing read-only input arrays into OpenCV functions.  
 <a href="../../d4/d32/classcv_1_1__InputArray.html#details">More...</a></p>

<p><code>#include &lt;opencv2/core/mat.hpp&gt;</code></p>
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Inheritance diagram for cv::_InputArray:</div>
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  <img src="../../d4/d32/classcv_1_1__InputArray.png" usemap="#cv::_5FInputArray_map" alt=""/>
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<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public Types</h2></td></tr>
<tr class="memitem:a0f6bead7579fcd0e30b15a5d6bf5b53b"><td class="memItemLeft" align="right" valign="top">enum &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a0f6bead7579fcd0e30b15a5d6bf5b53b">KindFlag</a> { <br />
&#160;&#160;<a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a0f6bead7579fcd0e30b15a5d6bf5b53ba34545fbcc40d31569f47af332822fbeb">KIND_SHIFT</a> = 16, 
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&#160;&#160;<a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a0f6bead7579fcd0e30b15a5d6bf5b53ba517c23e91976c6c72e6cb025fae551aa">FIXED_TYPE</a> = 0x8000 &lt;&lt; KIND_SHIFT, 
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&#160;&#160;<a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a0f6bead7579fcd0e30b15a5d6bf5b53ba7738c968c10d86fc85092882e41e0d77">CUDA_HOST_MEM</a> = 8 &lt;&lt; KIND_SHIFT, 
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<tr class="memitem:a9c452a1cc00d336b05ac6e74a37833ba"><td class="memTemplParams" colspan="2">template&lt;typename _Tp &gt; </td></tr>
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<tr class="memitem:a233f6def32ea9be70505e4c232517c19"><td class="memTemplParams" colspan="2">template&lt;typename _Tp &gt; </td></tr>
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<tr class="memitem:a393c45e0df5a9d0027302ea6c2400f4b"><td class="memTemplParams" colspan="2">template&lt;typename _Tp , std::size_t _Nm&gt; </td></tr>
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<tr class="memitem:a7d1be4641ac98b3669cc7bf04eb94ceb"><td class="memTemplParams" colspan="2">template&lt;std::size_t _Nm&gt; </td></tr>
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<tr class="memitem:af198cb2bf572d2877185756a58b724f8"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#af198cb2bf572d2877185756a58b724f8">channels</a> (int i=-1) const</td></tr>
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<tr class="memitem:abf46b7c02ec98a5b26820f79f7017b03"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#abf46b7c02ec98a5b26820f79f7017b03">cols</a> (int i=-1) const</td></tr>
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<tr class="memitem:a938c12fa2b73e6aea81017fe8d31526e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a938c12fa2b73e6aea81017fe8d31526e">copyTo</a> (const <a class="el" href="../../d2/d9e/classcv_1_1__OutputArray.html">_OutputArray</a> &amp;arr) const</td></tr>
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<tr class="memitem:a925e432f82689ff04dcc7d7576a735a8"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a925e432f82689ff04dcc7d7576a735a8">dims</a> (int i=-1) const</td></tr>
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<tr class="memitem:a27af21d5fb66f761f6b7c0c59ce1b808"><td class="memItemLeft" align="right" valign="top"><a class="el" href="../../d0/d60/classcv_1_1cuda_1_1GpuMat.html">cuda::GpuMat</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a27af21d5fb66f761f6b7c0c59ce1b808">getGpuMat</a> () const</td></tr>
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<tr class="memitem:aa7f083f38e5e44e277ceb51107328f7f"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#aa7f083f38e5e44e277ceb51107328f7f">getGpuMatVector</a> (std::vector&lt; <a class="el" href="../../d0/d60/classcv_1_1cuda_1_1GpuMat.html">cuda::GpuMat</a> &gt; &amp;gpumv) const</td></tr>
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<tr class="memitem:ad240d5085e65fa2ceacbaaa086aa8801"><td class="memItemLeft" align="right" valign="top"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#ad240d5085e65fa2ceacbaaa086aa8801">getMat_</a> (int idx=-1) const</td></tr>
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<tr class="memitem:a1d4c624c277215c4ed20f9604fdba5c8"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a1d4c624c277215c4ed20f9604fdba5c8">getMatVector</a> (std::vector&lt; <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &gt; &amp;mv) const</td></tr>
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<tr class="memitem:aa33a71040201aa69ac880bdcd1d92541"><td class="memItemLeft" align="right" valign="top">void *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#aa33a71040201aa69ac880bdcd1d92541">getObj</a> () const</td></tr>
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<tr class="memitem:a30139470fc4ac0d3a1e20ad63163dc4f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="../../dc/d84/group__core__basic.html#ga346f563897249351a34549137c8532a0">Size</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a30139470fc4ac0d3a1e20ad63163dc4f">getSz</a> () const</td></tr>
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<tr class="memitem:af38304bf253a127c66685593237dee29"><td class="memItemLeft" align="right" valign="top"><a class="el" href="../../d7/d45/classcv_1_1UMat.html">UMat</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#af38304bf253a127c66685593237dee29">getUMat</a> (int idx=-1) const</td></tr>
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<tr class="memitem:a05c38a03565d070e39a89c7a65b81662"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a05c38a03565d070e39a89c7a65b81662">getUMatVector</a> (std::vector&lt; <a class="el" href="../../d7/d45/classcv_1_1UMat.html">UMat</a> &gt; &amp;umv) const</td></tr>
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<tr class="memitem:af221eb464622ee46d0d3a8c63358023b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#af221eb464622ee46d0d3a8c63358023b">isMatx</a> () const</td></tr>
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<tr class="memitem:a65071abdc2def57324376f3f56cac370"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a65071abdc2def57324376f3f56cac370">offset</a> (int i=-1) const</td></tr>
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<tr class="memitem:a4ee92cc0ce081ee8af90c8c3970b316a"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a4ee92cc0ce081ee8af90c8c3970b316a">rows</a> (int i=-1) const</td></tr>
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<tr class="memitem:a7cb4cadf3108dc232e05e3ae5550e912"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a7cb4cadf3108dc232e05e3ae5550e912">sizend</a> (int *<a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a721c16a853d3bae3f41c8c0e9634b5a3">sz</a>, int i=-1) const</td></tr>
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<tr class="memitem:a2ccd313e06ba169ca6d45c2457d75ee5"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a2ccd313e06ba169ca6d45c2457d75ee5">total</a> (int i=-1) const</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
Static Public Member Functions</h2></td></tr>
<tr class="memitem:a4d935052325c9b3a795e5b63090bfe34"><td class="memTemplParams" colspan="2">template&lt;typename _Tp &gt; </td></tr>
<tr class="memitem:a4d935052325c9b3a795e5b63090bfe34"><td class="memTemplItemLeft" align="right" valign="top">static <a class="el" href="../../d4/d32/classcv_1_1__InputArray.html">_InputArray</a>&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a4d935052325c9b3a795e5b63090bfe34">rawIn</a> (const std::vector&lt; _Tp &gt; &amp;vec)</td></tr>
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<tr class="memitem:a57e89a801d76b4fc28b6f0986eb5e88c"><td class="memTemplParams" colspan="2">template&lt;typename _Tp , std::size_t _Nm&gt; </td></tr>
<tr class="memitem:a57e89a801d76b4fc28b6f0986eb5e88c"><td class="memTemplItemLeft" align="right" valign="top">static <a class="el" href="../../d4/d32/classcv_1_1__InputArray.html">_InputArray</a>&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a57e89a801d76b4fc28b6f0986eb5e88c">rawIn</a> (const std::array&lt; _Tp, _Nm &gt; &amp;arr)</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a>
Protected Member Functions</h2></td></tr>
<tr class="memitem:a0f07de15ae1dea185ddbdd69aa36fcb4"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a0f07de15ae1dea185ddbdd69aa36fcb4">init</a> (int _flags, const void *_obj)</td></tr>
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<tr class="memitem:a296e276ec57703236b468acf43ca7755"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a296e276ec57703236b468acf43ca7755">init</a> (int _flags, const void *_obj, <a class="el" href="../../dc/d84/group__core__basic.html#ga346f563897249351a34549137c8532a0">Size</a> _sz)</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-attribs"></a>
Protected Attributes</h2></td></tr>
<tr class="memitem:af3be19723301164bb9932133f550149f"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#af3be19723301164bb9932133f550149f">flags</a></td></tr>
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<tr class="memitem:aa3a74c8655eb5357a9a9cb4c10b2e032"><td class="memItemLeft" align="right" valign="top">void *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#aa3a74c8655eb5357a9a9cb4c10b2e032">obj</a></td></tr>
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<tr class="memitem:a721c16a853d3bae3f41c8c0e9634b5a3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="../../dc/d84/group__core__basic.html#ga346f563897249351a34549137c8532a0">Size</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a721c16a853d3bae3f41c8c0e9634b5a3">sz</a></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>This is the proxy class for passing read-only input arrays into OpenCV functions. </p>
<p>It is defined as: </p><div class="fragment"><div class="line"><span class="keyword">typedef</span> <span class="keyword">const</span> <a class="code" href="../../d4/d32/classcv_1_1__InputArray.html#a53021a00f01d897cd73b8da2ebf1bddb">_InputArray</a>&amp; <a class="code" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a>;</div></div><!-- fragment --><p> where <a class="el" href="../../d4/d32/classcv_1_1__InputArray.html" title="This is the proxy class for passing read-only input arrays into OpenCV functions. ...">_InputArray</a> is a class that can be constructed from <code><a class="el" href="../../d3/d63/classcv_1_1Mat.html" title="n-dimensional dense array class ">Mat</a></code>, <code><a class="el" href="../../df/dfc/classcv_1_1Mat__.html" title="Template matrix class derived from Mat. ">Mat_</a>&lt;T&gt;</code>, <code><a class="el" href="../../de/de1/classcv_1_1Matx.html" title="Template class for small matrices whose type and size are known at compilation time. ">Matx</a>&lt;T, m, n&gt;</code>, <code>std::vector&lt;T&gt;</code>, <code>std::vector&lt;std::vector&lt;T&gt; &gt;</code>, <code>std::vector&lt;<a class="el" href="../../d3/d63/classcv_1_1Mat.html" title="n-dimensional dense array class ">Mat</a>&gt;</code>, <code>std::vector&lt;<a class="el" href="../../df/dfc/classcv_1_1Mat__.html" title="Template matrix class derived from Mat. ">Mat_</a>&lt;T&gt; &gt;</code>, <code><a class="el" href="../../d7/d45/classcv_1_1UMat.html">UMat</a></code>, <code>std::vector&lt;<a class="el" href="../../d7/d45/classcv_1_1UMat.html">UMat</a>&gt;</code> or <code>double</code>. It can also be constructed from a matrix expression.</p>
<p>Since this is mostly implementation-level class, and its interface may change in future versions, we do not describe it in details. There are a few key things, though, that should be kept in mind:</p>
<ul>
<li>When you see in the reference manual or in OpenCV source code a function that takes InputArray, it means that you can actually pass <code><a class="el" href="../../d3/d63/classcv_1_1Mat.html" title="n-dimensional dense array class ">Mat</a></code>, <code><a class="el" href="../../de/de1/classcv_1_1Matx.html" title="Template class for small matrices whose type and size are known at compilation time. ">Matx</a></code>, <code>vector&lt;T&gt;</code> etc. (see above the complete list).</li>
<li>Optional input arguments: If some of the input arrays may be empty, pass <a class="el" href="../../dc/d84/group__core__basic.html#gad9287b23bba2fed753b36ef561ae7346">cv::noArray()</a> (or simply <a class="el" href="../../d3/d63/classcv_1_1Mat.html" title="n-dimensional dense array class ">cv::Mat()</a> as you probably did before).</li>
<li>The class is designed solely for passing parameters. That is, normally you <em>should not</em> declare class members, local and global variables of this type.</li>
<li>If you want to design your own function or a class method that can operate of arrays of multiple types, you can use InputArray (or OutputArray) for the respective parameters. Inside a function you should use <a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a9c09739ca3e0ce212e2ab8374aa2f195">_InputArray::getMat()</a> method to construct a matrix header for the array (without copying data). <a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#aab9143957595156ba406324574c5ac1f">_InputArray::kind()</a> can be used to distinguish <a class="el" href="../../d3/d63/classcv_1_1Mat.html" title="n-dimensional dense array class ">Mat</a> from <code>vector&lt;&gt;</code> etc., but normally it is not needed.</li>
</ul>
<p>Here is how you can use a function that takes InputArray : </p><div class="fragment"><div class="line">std::vector&lt;Point2f&gt; vec;</div><div class="line"><span class="comment">// points or a circle</span></div><div class="line"><span class="keywordflow">for</span>( <span class="keywordtype">int</span> i = 0; i &lt; 30; i++ )</div><div class="line">    vec.push_back(<a class="code" href="../../dc/d84/group__core__basic.html#ga7d080aa40de011e4410bca63385ffe2a">Point2f</a>((<span class="keywordtype">float</span>)(100 + 30*<a class="code" href="../../d0/de1/group__core.html#gaf0f2fe47183d063fb7415097fbadb570">cos</a>(i*<a class="code" href="../../db/de0/group__core__utils.html#ga677b89fae9308b340ddaebf0dba8455f">CV_PI</a>*2/5)),</div><div class="line">                          (<span class="keywordtype">float</span>)(100 - 30*<a class="code" href="../../d0/de1/group__core.html#ga53a8656033a51db64caa72ee9d4e93b4">sin</a>(i*<a class="code" href="../../db/de0/group__core__utils.html#ga677b89fae9308b340ddaebf0dba8455f">CV_PI</a>*2/5))));</div><div class="line"><a class="code" href="../../d2/de8/group__core__array.html#ga393164aa54bb9169ce0a8cc44e08ff22">cv::transform</a>(vec, vec, <a class="code" href="../../de/de1/classcv_1_1Matx.html">cv::Matx23f</a>(0.707, -0.707, 10, 0.707, 0.707, 20));</div></div><!-- fragment --><p> That is, we form an STL vector containing points, and apply in-place affine transformation to the vector using the 2x3 matrix created inline as <code><a class="el" href="../../de/de1/classcv_1_1Matx.html" title="Template class for small matrices whose type and size are known at compilation time. ">Matx</a>&lt;float, 2, 3&gt;</code> instance.</p>
<p>Here is how such a function can be implemented (for simplicity, we implement a very specific case of it, according to the assertion statement inside) : </p><div class="fragment"><div class="line"><span class="keywordtype">void</span> myAffineTransform(<a class="code" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> _src, <a class="code" href="../../dc/d84/group__core__basic.html#gaad17fda1d0f0d1ee069aebb1df2913c0">OutputArray</a> _dst, <a class="code" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> _m)</div><div class="line">{</div><div class="line">    <span class="comment">// get Mat headers for input arrays. This is O(1) operation,</span></div><div class="line">    <span class="comment">// unless _src and/or _m are matrix expressions.</span></div><div class="line">    Mat src = _src.getMat(), m = _m.getMat();</div><div class="line">    <a class="code" href="../../db/de0/group__core__utils.html#gaf62bcd90f70e275191ab95136d85906b">CV_Assert</a>( src.type() == <a class="code" href="../../d1/d1b/group__core__hal__interface.html#ga15d6109d87682bf909122d0ce51c46a6">CV_32FC2</a> &amp;&amp; m.type() == <a class="code" href="../../d1/d1b/group__core__hal__interface.html#ga4a3def5d72b74bed31f5f8ab7676099c">CV_32F</a> &amp;&amp; m.size() == <a class="code" href="../../dc/d84/group__core__basic.html#ga346f563897249351a34549137c8532a0">Size</a>(3, 2) );</div><div class="line"></div><div class="line">    <span class="comment">// [re]create the output array so that it has the proper size and type.</span></div><div class="line">    <span class="comment">// In case of Mat it calls Mat::create, in case of STL vector it calls vector::resize.</span></div><div class="line">    _dst.create(src.size(), src.type());</div><div class="line">    Mat dst = _dst.getMat();</div><div class="line"></div><div class="line">    <span class="keywordflow">for</span>( <span class="keywordtype">int</span> i = 0; i &lt; src.rows; i++ )</div><div class="line">        <span class="keywordflow">for</span>( <span class="keywordtype">int</span> j = 0; j &lt; src.cols; j++ )</div><div class="line">        {</div><div class="line">            <a class="code" href="../../dc/d84/group__core__basic.html#ga7d080aa40de011e4410bca63385ffe2a">Point2f</a> pt = src.at&lt;<a class="code" href="../../dc/d84/group__core__basic.html#ga7d080aa40de011e4410bca63385ffe2a">Point2f</a>&gt;(i, j);</div><div class="line">            dst.at&lt;<a class="code" href="../../dc/d84/group__core__basic.html#ga7d080aa40de011e4410bca63385ffe2a">Point2f</a>&gt;(i, j) = <a class="code" href="../../dc/d84/group__core__basic.html#ga7d080aa40de011e4410bca63385ffe2a">Point2f</a>(m.at&lt;<span class="keywordtype">float</span>&gt;(0, 0)*pt.x +</div><div class="line">                                            m.at&lt;<span class="keywordtype">float</span>&gt;(0, 1)*pt.y +</div><div class="line">                                            m.at&lt;<span class="keywordtype">float</span>&gt;(0, 2),</div><div class="line">                                            m.at&lt;<span class="keywordtype">float</span>&gt;(1, 0)*pt.x +</div><div class="line">                                            m.at&lt;<span class="keywordtype">float</span>&gt;(1, 1)*pt.y +</div><div class="line">                                            m.at&lt;<span class="keywordtype">float</span>&gt;(1, 2));</div><div class="line">        }</div><div class="line">}</div></div><!-- fragment --><p> There is another related type, InputArrayOfArrays, which is currently defined as a synonym for InputArray: </p><div class="fragment"><div class="line"><span class="keyword">typedef</span> <a class="code" href="../../dc/d84/group__core__basic.html#ga353a9de602fe76c709e12074a6f362ba">InputArray</a> <a class="code" href="../../dc/d84/group__core__basic.html#ga606feabe3b50ab6838f1ba89727aa07a">InputArrayOfArrays</a>;</div></div><!-- fragment --><p> It denotes function arguments that are either vectors of vectors or vectors of matrices. A separate synonym is needed to generate Python/Java etc. wrappers properly. At the function implementation level their use is similar, but _InputArray::getMat(idx) should be used to get header for the idx-th component of the outer vector and <a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a0d8ed64f7bbbda6d34e3289681ffdff0">_InputArray::size()</a>.area() should be used to find the number of components (vectors/matrices) of the outer vector.</p>
<p>In general, type support is limited to <a class="el" href="../../d3/d63/classcv_1_1Mat.html" title="n-dimensional dense array class ">cv::Mat</a> types. Other types are forbidden. But in some cases we need to support passing of custom non-general <a class="el" href="../../d3/d63/classcv_1_1Mat.html" title="n-dimensional dense array class ">Mat</a> types, like arrays of <a class="el" href="../../d2/d29/classcv_1_1KeyPoint.html" title="Data structure for salient point detectors. ">cv::KeyPoint</a>, <a class="el" href="../../d4/de0/classcv_1_1DMatch.html" title="Class for matching keypoint descriptors. ">cv::DMatch</a>, etc. This data is not intended to be interpreted as an image data, or processed somehow like regular <a class="el" href="../../d3/d63/classcv_1_1Mat.html" title="n-dimensional dense array class ">cv::Mat</a>. To pass such custom type use <a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a4d935052325c9b3a795e5b63090bfe34">rawIn()</a> / <a class="el" href="../../dc/d84/group__core__basic.html#ga810a6d3d2b66b6d04e9f07e567b77407">rawOut()</a> / <a class="el" href="../../dc/d84/group__core__basic.html#ga0a6668770210aac2bab60edef7665338">rawInOut()</a> wrappers. Custom type is wrapped as Mat-compatible <code>CV_8UC&lt;N&gt;</code> values (N = sizeof(T), N &lt;= CV_CN_MAX). </p>
<dl><dt><b>Examples: </b></dt><dd><a class="el" href="../../d3/db0/samples_2cpp_2pca_8cpp-example.html#_a8">samples/cpp/pca.cpp</a>, and <a class="el" href="../../df/d54/samples_2cpp_2peopledetect_8cpp-example.html#_a5">samples/cpp/peopledetect.cpp</a>.</dd>
</dl></div><h2 class="groupheader">Member Enumeration Documentation</h2>
<a id="a0f6bead7579fcd0e30b15a5d6bf5b53b"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a0f6bead7579fcd0e30b15a5d6bf5b53b">&#9670;&nbsp;</a></span>KindFlag</h2>

<div class="memitem">
<div class="memproto">
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          <td class="memname">enum <a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a0f6bead7579fcd0e30b15a5d6bf5b53b">cv::_InputArray::KindFlag</a></td>
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</div><div class="memdoc">
<table class="fieldtable">
<tr><th colspan="2">Enumerator</th></tr><tr><td class="fieldname"><a id="a0f6bead7579fcd0e30b15a5d6bf5b53ba34545fbcc40d31569f47af332822fbeb"></a>KIND_SHIFT&#160;</td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="a0f6bead7579fcd0e30b15a5d6bf5b53ba517c23e91976c6c72e6cb025fae551aa"></a>FIXED_TYPE&#160;</td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="a0f6bead7579fcd0e30b15a5d6bf5b53ba4eb3928003c50a19e08aebee36ed3a7e"></a>FIXED_SIZE&#160;</td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="a0f6bead7579fcd0e30b15a5d6bf5b53ba1b1e62a17e6a897cde97556970e80afc"></a>KIND_MASK&#160;</td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="a0f6bead7579fcd0e30b15a5d6bf5b53ba7f22b71cc694233d39d400bb0192a30a"></a>NONE&#160;</td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="a0f6bead7579fcd0e30b15a5d6bf5b53ba78b5339efc1a4718ab6a1b688ccffc1c"></a>MAT&#160;</td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="a0f6bead7579fcd0e30b15a5d6bf5b53ba52401c0e7c2c1bd3e55d86f06b529279"></a>MATX&#160;</td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="a0f6bead7579fcd0e30b15a5d6bf5b53ba967fc6460ab5b965c4a75d722ed37380"></a>STD_VECTOR&#160;</td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="a0f6bead7579fcd0e30b15a5d6bf5b53ba21a9a638579ea97800bac55c8d8bb52e"></a>STD_VECTOR_VECTOR&#160;</td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="a0f6bead7579fcd0e30b15a5d6bf5b53ba515a6d0a638e2232a37f16c724eb59e8"></a>STD_VECTOR_MAT&#160;</td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="a0f6bead7579fcd0e30b15a5d6bf5b53ba84ed741d208c2de3eaa9658ce1554379"></a>EXPR&#160;</td><td class="fielddoc"><p>removed: <a href="https://github.com/opencv/opencv/pull/17046">https://github.com/opencv/opencv/pull/17046</a> </p>
</td></tr>
<tr><td class="fieldname"><a id="a0f6bead7579fcd0e30b15a5d6bf5b53bac0f3b1297b8b3abf313d7e4e51346d70"></a>OPENGL_BUFFER&#160;</td><td class="fielddoc"></td></tr>
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<tr><td class="fieldname"><a id="a0f6bead7579fcd0e30b15a5d6bf5b53ba131b6b2d8f36c9310bf1b2e382e85225"></a>CUDA_GPU_MAT&#160;</td><td class="fielddoc"></td></tr>
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          <td class="memname">int cv::_InputArray::cols </td>
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          <td class="paramname"><em>arr</em>, </td>
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          <td class="paramtype">const <a class="el" href="../../d4/d32/classcv_1_1__InputArray.html">_InputArray</a> &amp;&#160;</td>
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          <td>)</td>
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          <td class="memname">int cv::_InputArray::depth </td>
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          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>i</em> = <code>-1</code></td><td>)</td>
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          <td class="memname"><a class="el" href="../../d0/d60/classcv_1_1cuda_1_1GpuMat.html">cuda::GpuMat</a> cv::_InputArray::getGpuMat </td>
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<h2 class="memtitle"><span class="permalink"><a href="#aa7f083f38e5e44e277ceb51107328f7f">&#9670;&nbsp;</a></span>getGpuMatVector()</h2>

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          <td class="memname">void cv::_InputArray::getGpuMatVector </td>
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          <td class="paramtype">std::vector&lt; <a class="el" href="../../d0/d60/classcv_1_1cuda_1_1GpuMat.html">cuda::GpuMat</a> &gt; &amp;&#160;</td>
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          <td> const</td>
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          <td class="memname"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> cv::_InputArray::getMat </td>
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          <td class="paramname"><em>idx</em> = <code>-1</code></td><td>)</td>
          <td> const</td>
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<dl><dt><b>Examples: </b></dt><dd><a class="el" href="../../d3/db0/samples_2cpp_2pca_8cpp-example.html#a9">samples/cpp/pca.cpp</a>.</dd>
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          <td class="memname"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> cv::_InputArray::getMat_ </td>
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          <td class="paramname"><em>idx</em> = <code>-1</code></td><td>)</td>
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          <td class="paramname"><em>mv</em></td><td>)</td>
          <td> const</td>
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          <td class="memname"><a class="el" href="../../d3/d68/classcv_1_1ogl_1_1Buffer.html">ogl::Buffer</a> cv::_InputArray::getOGlBuffer </td>
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          <td> const</td>
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          <td class="memname"><a class="el" href="../../d7/d45/classcv_1_1UMat.html">UMat</a> cv::_InputArray::getUMat </td>
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          <td class="paramname"><em>idx</em> = <code>-1</code></td><td>)</td>
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          <td class="paramname"><em>umv</em></td><td>)</td>
          <td> const</td>
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          <td class="paramname"><em>_flags</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramtype">const void *&#160;</td>
          <td class="paramname"><em>_obj</em>&#160;</td>
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          <td class="paramname"><em>_flags</em>, </td>
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          <td class="paramtype">const void *&#160;</td>
          <td class="paramname"><em>_obj</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramtype"><a class="el" href="../../dc/d84/group__core__basic.html#ga346f563897249351a34549137c8532a0">Size</a>&#160;</td>
          <td class="paramname"><em>_sz</em>&#160;</td>
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          <td></td><td></td>
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<h2 class="memtitle"><span class="permalink"><a href="#af38d2ea2a7ec65f622d267eed4863578">&#9670;&nbsp;</a></span>isContinuous()</h2>

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          <td class="paramname"><em>i</em> = <code>-1</code></td><td>)</td>
          <td> const</td>
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          <td> const</td>
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          <td> const</td>
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          <td> const</td>
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<h2 class="memtitle"><span class="permalink"><a href="#af221eb464622ee46d0d3a8c63358023b">&#9670;&nbsp;</a></span>isMatx()</h2>

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          <td class="memname">bool cv::_InputArray::isMatx </td>
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          <td> const</td>
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<h2 class="memtitle"><span class="permalink"><a href="#a7963ba0ea28fcd0f50e5a9218a1e71ba">&#9670;&nbsp;</a></span>isSubmatrix()</h2>

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          <td class="memname">bool cv::_InputArray::isSubmatrix </td>
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          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>i</em> = <code>-1</code></td><td>)</td>
          <td> const</td>
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<h2 class="memtitle"><span class="permalink"><a href="#a7e1555ee58814435df26535ff9380e2e">&#9670;&nbsp;</a></span>isUMat()</h2>

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          <td> const</td>
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          <td> const</td>
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          <td class="memname"><a class="el" href="../../d4/d32/classcv_1_1__InputArray.html#a0f6bead7579fcd0e30b15a5d6bf5b53b">_InputArray::KindFlag</a> cv::_InputArray::kind </td>
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          <td> const</td>
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          <td class="memname">static <a class="el" href="../../d4/d32/classcv_1_1__InputArray.html">_InputArray</a> cv::_InputArray::rawIn </td>
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template&lt;typename _Tp , std::size_t _Nm&gt; </div>
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<h2 class="memtitle"><span class="permalink"><a href="#a4ee92cc0ce081ee8af90c8c3970b316a">&#9670;&nbsp;</a></span>rows()</h2>

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<h2 class="memtitle"><span class="permalink"><a href="#a7cb4cadf3108dc232e05e3ae5550e912">&#9670;&nbsp;</a></span>sizend()</h2>

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<h2 class="memtitle"><span class="permalink"><a href="#aa91e7e76c9247f7192ab70d0c0be4783">&#9670;&nbsp;</a></span>step()</h2>

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          <td class="memname">size_t cv::_InputArray::step </td>
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          <td> const</td>
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<h2 class="memtitle"><span class="permalink"><a href="#aad62862c81d1d5bdf3f6597a32585844">&#9670;&nbsp;</a></span>type()</h2>

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          <td class="memname">int cv::_InputArray::type </td>
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<h2 class="groupheader">Member Data Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#af3be19723301164bb9932133f550149f">&#9670;&nbsp;</a></span>flags</h2>

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<h2 class="memtitle"><span class="permalink"><a href="#aa3a74c8655eb5357a9a9cb4c10b2e032">&#9670;&nbsp;</a></span>obj</h2>

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<h2 class="memtitle"><span class="permalink"><a href="#a721c16a853d3bae3f41c8c0e9634b5a3">&#9670;&nbsp;</a></span>sz</h2>

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          <td class="memname"><a class="el" href="../../dc/d84/group__core__basic.html#ga346f563897249351a34549137c8532a0">Size</a> cv::_InputArray::sz</td>
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<hr/>The documentation for this class was generated from the following file:<ul>
<li>opencv2/core/<a class="el" href="../../d3/d82/core_2include_2opencv2_2core_2mat_8hpp.html">mat.hpp</a></li>
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